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Gene×Environment Interaction from Case‐Control and Case‐Case Approaches
Author(s) -
Bei Yan,
Goldin Lynn R.,
Goldstein Alisa M.
Publication year - 2001
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.2001.21.s1.s825
Subject(s) - multiplicative function , a priori and a posteriori , gene–environment interaction , measure (data warehouse) , gene interaction , interaction , computer science , main effect , control (management) , interaction model , econometrics , computational biology , statistics , gene , genetics , mathematics , data mining , biology , artificial intelligence , machine learning , genotype , mathematical analysis , philosophy , epistemology , world wide web
Using the Genetic Analysis Workshop 12 data, we applied case‐control and case‐case approaches to study the effects of a major gene and its interaction with sex on the disease liability. Although no joint additive effect was simulated, the case‐case approach detected a small but significant multiplicative interaction effect, which could not be explained by the effect of random error. Given that analyses of “real” data will not be made with the knowledge of the true effects a priori, this study showed that the measure of gene×environment interaction is critical and the definition of interaction should be explicit. © 2001 Wiley‐Liss, Inc.